Deep learning in cancer diagnosis, prognosis and treatment selection
Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …
technique called artificial neural networks to extract patterns and make predictions from …
Machine learning for precision medicine
SJ MacEachern, ND Forkert - Genome, 2021 - cdnsciencepub.com
Precision medicine is an emerging approach to clinical research and patient care that
focuses on understanding and treating disease by integrating multi-modal or multi-omics …
focuses on understanding and treating disease by integrating multi-modal or multi-omics …
Deep learning: new computational modelling techniques for genomics
As a data-driven science, genomics largely utilizes machine learning to capture
dependencies in data and derive novel biological hypotheses. However, the ability to extract …
dependencies in data and derive novel biological hypotheses. However, the ability to extract …
[HTML][HTML] An overview of deep learning in medical imaging focusing on MRI
AS Lundervold, A Lundervold - Zeitschrift für Medizinische Physik, 2019 - Elsevier
What has happened in machine learning lately, and what does it mean for the future of
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
medical image analysis? Machine learning has witnessed a tremendous amount of attention …
[HTML][HTML] Machine learning in healthcare
H Habehh, S Gohel - Current genomics, 2021 - ncbi.nlm.nih.gov
Abstract Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML)
technology have brought on substantial strides in predicting and identifying health …
technology have brought on substantial strides in predicting and identifying health …
Artificial intelligence and personalized medicine
NJ Schork - Precision medicine in Cancer therapy, 2019 - Springer
The development of high-throughput, data-intensive biomedical research assays and
technologies has created a need for researchers to develop strategies for analyzing …
technologies has created a need for researchers to develop strategies for analyzing …
Automatic instrument segmentation in robot-assisted surgery using deep learning
Semantic segmentation of robotic instruments is an important problem for the robot-assisted
surgery. One of the main challenges is to correctly detect an instrument's position for the …
surgery. One of the main challenges is to correctly detect an instrument's position for the …
Artificial intelligence for precision medicine in neurodevelopmental disorders
The ambition of precision medicine is to design and optimize the pathway for diagnosis,
therapeutic intervention, and prognosis by using large multidimensional biological datasets …
therapeutic intervention, and prognosis by using large multidimensional biological datasets …
Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives
J Xu, P Yang, S Xue, B Sharma, M Sanchez-Martin… - Human genetics, 2019 - Springer
In the field of cancer genomics, the broad availability of genetic information offered by next-
generation sequencing technologies and rapid growth in biomedical publication has led to …
generation sequencing technologies and rapid growth in biomedical publication has led to …
Artificial intelligence, machine learning, and cardiovascular disease
P Mathur, S Srivastava, X Xu… - Clinical Medicine …, 2020 - journals.sagepub.com
Artificial intelligence (AI)-based applications have found widespread applications in many
fields of science, technology, and medicine. The use of enhanced computing power of …
fields of science, technology, and medicine. The use of enhanced computing power of …